PyRIT is one of the most respected open-source AI red teaming frameworks available today. HexTyx is an enterprise AI security platform that operationalises red teaming and extends it into governance, compliance, and runtime assurance. A framework and a platform — both reduce AI risk, but for different audiences and at different scales.
Microsoft's PyRIT and HexTyx both address the same fundamental challenge: AI systems need to be tested against adversarial attacks. But they were built for different purposes, different audiences, and different scales. PyRIT is a research-grade open-source framework — powerful, flexible, and free. HexTyx is an enterprise platform that automates testing, generates compliance evidence, and provides governance reporting. Understanding which fits your organisation requires understanding the framework-vs-platform distinction.
PyRIT — Python Risk Identification Tool — is an open-source AI red teaming framework developed by Microsoft. Created to help security researchers and developers evaluate AI systems against adversarial attacks, it automates prompt injection testing, jailbreak evaluation, adversarial prompt generation, and model robustness testing. It has strong adoption among AI security professionals who value its flexibility and open-source backing.
HexTyx is an enterprise AI security, governance, and compliance platform. Rather than focusing solely on testing, it provides comprehensive AI assurance: security testing, agent and RAG validation, runtime monitoring, governance reporting, compliance evidence generation, and executive risk dashboards — designed for organisations deploying AI at scale.
| Capability | PyRIT | HexTyx |
|---|---|---|
| Open Source | Yes | No |
| AI Red Teaming | Strong | Strong |
| Prompt Injection Testing | Strong | Strong |
| AI Agent Security | Limited | Strong |
| RAG Security Testing | Limited | Strong |
| Runtime Monitoring | No | Strong |
| Governance | No | Strong |
| Compliance Mapping | No | Strong |
| Executive Reporting | No | Strong |
| Audit Evidence | No | Strong |
| Enterprise Dashboards | No | Strong |
| Multi-Team Workflows | Limited | Strong |
AI security tools fall into three categories: open-source frameworks (PyRIT, Garak, Promptfoo) that require configuration and engineering effort; security testing platforms (HexTyx, Mindgard, SplxAI) that provide automated testing and enterprise workflows; and governance platforms (Credo AI, Holistic AI) focused on compliance and risk management. PyRIT is Category 1. HexTyx spans Categories 2 and 3. That single distinction drives almost every difference in this comparison.
PyRIT is purpose-built for red teaming. It provides sophisticated attack generation, adversarial prompt libraries, jailbreak discovery, and research workflows. Security researchers can create custom attack chains and automate testing campaigns. The strengths: flexible, highly customisable, open source, research-friendly. The challenges: requires AI security expertise to operate, produces raw results that need interpretation, has no reporting layer, and governance is entirely manual.
HexTyx operationalises red teaming. Automated attack libraries, enterprise reporting, risk scoring, compliance mapping, and executive summaries mean organisations move from raw findings to prioritised remediation without manual translation work.
PyRIT was created before the current wave of agentic AI systems. While researchers can adapt it for agent testing, coverage requires significant custom development. HexTyx places agent security as a core capability: MCP security validation, tool-use governance testing, permission abuse simulation, workflow compromise testing, agent memory security, and runtime behaviour monitoring — all as first-class platform features.
PyRIT can be adapted for some RAG testing scenarios, but retrieval analysis requires custom tooling, access control validation is largely manual, and enterprise RAG governance is outside its scope. HexTyx provides dedicated RAG security assessment: retrieval security validation, chunk-level access control testing, vector database security review, and knowledge base isolation assessment.
PyRIT produces technical outputs — raw findings that security engineers and researchers interpret. It has no risk registers, governance workflows, compliance dashboards, or audit preparation capabilities. Everything beyond the technical output requires separate tooling and manual effort.
HexTyx connects testing findings directly to compliance objectives: automated evidence generation, framework mapping (NIST AI RMF, EU AI Act, SOC 2, ISO 27001), audit-ready reports, and executive summaries. Security findings reach risk teams, compliance teams, and boards without manual translation.
PyRIT is free and open source. The hidden costs are operational: engineering time to configure and maintain the framework, infrastructure to run it, manual effort to interpret results, separate tooling for governance and compliance, and reporting built from scratch. For small technical teams with time and expertise, the economics work. For enterprises with compliance obligations and multiple stakeholder audiences, the total cost of ownership climbs quickly.
HexTyx requires platform investment but provides faster deployment, reduced manual effort, integrated governance, and compliance support — making the economics most favourable at enterprise scale.
Bottom line: The HexTyx AI Security Assessment covers prompt injection, agent security, RAG security, and governance readiness. 10 minutes, no signup required.
The HexTyx AI Security Assessment covers prompt injection, agent security, RAG security, and governance readiness. 10 minutes, no signup required.